We herein report three cases of Parkinson's disease associated with difficulty in eyelid opening, referred to as apraxia of eyelid opening (AEO), which improved after aripiprazole treatment. In case 1, aripiprazole was administered as a psychiatric treatment. It proved to be effective in AEO with blepharospasm. In case 2 and case 3, the patients experienced AEO without blepharospasm, and a significant improvement was observed after aripiprazole treatment. In this study, the aripiprazole dosage ranged between 3 and 9 mg/day. This is the first report of aripiprazole as a potentially effective treatment for AEO in Parkinson's disease.
Objective: This study aimed to clarify the influence of age on rehabilitation outcome by using corrected motor FIM (FIM-M) effectiveness, an outcome indicator in which the influence of FIM-M at admission was corrected. Methods: The subjects were 1,101 stroke patients. The value of A in the equation, Corrected FIM-M effectiveness = FIM-M gain / (A-FIM-M at admission) was set as 42, 64, 79, 83, 87, 89, and 91 points (for FIM-M score at admission of 13-18, 19-24, 25-30, 31-36, 37-42, 43-48, and 49-90 points, respectively). The subjects were divided into 10 groups by age with a 5-year range in which the average of corrected FIM-M effectiveness was calculated.
Results:The mean corrected FIM-M effectiveness was almost constant in five groups below 69 years and decreased almost linearly as age increased in five groups over 70 years.
Conclusion:The outcome decreases almost linearly after the age of 70 years old.
model 2). The coefficient of determination adjusted for the degrees of freedom R* 2 and the residuals obtained by subtracting the predicted value from the measured value of motor FIM gain were investigated.
Results:The R* 2 of model 1 was 0.364 and that of model 2 was 0.711. The residual of model 1 was 0 ± 12.3 and that of model 2 was 0 ± 8.3. In model 2, the standard deviation of the residual was reduced.
Conclusion:Adding FIM improvement for one month to the explanatory variables increased the prediction accuracy of FIM gain.
Objective: To predict FIM gain and discharge FIM score by multiplying the standard value by influence coefficients for age, cognitive function, and transfer interval. Methods: The subjects were 1,118 stroke patients admitted to a Kaifukuki rehabilitation ward of hospital A. The median value of motor FIM (mFIM) gain and discharge mFIM based on mFIM at the time of admission was used as the standard value. We then created a formula for predicting mFIM gain and discharge mFIM by multiplying the standard value by the influence coefficients for age, cognitive function, and transfer interval.
Results:The correlation coefficient between the actual and predicted values was 0.681 in the prediction of mFIM gain and 0.874 in the prediction of discharge mFIM. The residual of the subtraction of the predicted value from the actual value was 1.4±12.5 (median value: 0) in the prediction of mFIM gain, and 1.3±12.6 (median value: 0) in the prediction of discharge mFIM.
Conclusion:The correlation coefficient is comparable with those of reports that use multiple regression analysis. This new method clearly showed the relationship between factors and mFIM gain/discharge mFIM.
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